Akshat Bubna
New York, New York, United States
Summary
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RockstarAkshat Bubna is a Co-Founder and CTO based in New York with 12 years of software engineering experience, currently leading product and engineering at Modal (Modal Labs). He builds cloud-native ML developer tooling and is intensely hands-on across the stack, from responsive React frontends to Python/FastAPI backends and production job queues. Before founding Modal he was a Staff Software Engineer at Scale AI, where he worked on scalable data and model infrastructure. He contributes to open-source examples like modal-examples, where he implemented a receipt parser that ties a React upload UI to a FastAPI backend, job polling, and the Donut visual-language model—demonstrating practical experience turning research models into usable pipelines. An MIT-trained mathematician and computer scientist, he focuses on bridging research-grade models into reliable, developer-friendly production systems.
12 years of coding experience
Github Skills (13)
modal-windows10
modal-dialog10
fastapi10
modal-window10
modals10
webpages10
python10
react10
web-content10
jsx10
cloud-computing9
serverless9
machine-learning9
Programming languages (6)
Github contributions (5)
modal-labs/modal-examples
Sep 2022 - Jan 2023
Examples of programs built using Modal
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:20 reviews, 27 commits, 116 PRs in 4 months
Contributions summary:Akshat implemented a receipt parser application with a job queue, splitting the application into frontend and backend components. They utilized React with JSX for the frontend, enabling users to upload receipt images. The backend, written in Python with FastAPI, handles form data, submits parsing jobs, and polls for results. The user also integrated the Donut model for receipt parsing and implemented styling and other UI improvements.
pytorchpythonmodalgpuserverless
aksh-at/rss-to-email
Aug 2021 - Dec 2021
Contributions:59 commits, 1 comment, 1 issue in 4 months
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